Data Management Specialist

Data Management Specialist – (Azure Data Platform)

📍 Location: London, UK (Hybrid)

📄 Contract Type: Contract

⏳ Duration: Initial 6–12 Months (Extension Possible)

Role Overview

We are seeking an experienced Data Management Specialist with strong expertise in the Insurance domain and exposure to the Microsoft Azure Data Platform. This role will focus on ensuring high-quality, governed, secure, and compliant data across enterprise systems, supporting business operations, analytics, and regulatory reporting initiatives.

The ideal candidate will have hands-on experience in data governance, data quality, data stewardship, master data management, and insurance data domains, alongside the ability to collaborate effectively with business and technology stakeholders.

Key Responsibilities

Data Governance & Data Quality

• Implement and maintain enterprise data governance frameworks, standards, and policies.
• Ensure data accuracy, consistency, completeness, and integrity across business systems.
• Define, monitor, and report on data quality KPIs and metrics.
• Manage data lineage, metadata, and data cataloging processes.
• Drive adherence to enterprise data standards and governance controls.

Data Management & Stewardship

• Act as Data Steward for key Insurance data domains including Policy, Claims, Customer, Billing, and Finance.
• Maintain business glossaries, data definitions, and ownership models.
• Support Master Data Management (MDM) initiatives and best practices.
• Investigate and resolve data quality issues and inconsistencies.
• Support data cleansing, migration, and transformation activities.

Azure Data Platform Support

• Work closely with Data Engineering teams supporting:
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS)
• Azure Synapse Analytics
• Monitor and validate data ingestion, transformation, and integration processes.
• Support data governance and security controls within Azure environments.
• Assist with cloud data platform modernization initiatives.

Regulatory & Compliance

• Ensure compliance with insurance regulations and reporting requirements including:
• IFRS 17
• Solvency II
• GDPR
• Support audit activities and regulatory reporting processes.
• Maintain governance documentation, controls, and compliance evidence.
• Ensure trusted and auditable data is available for reporting purposes.

Stakeholder Collaboration

• Partner with business teams across Underwriting, Claims, Finance, Actuarial, and Operations.
• Collaborate with Data Architects, Engineers, Analysts, and Reporting teams.
• Promote best practices in data governance and stewardship.
• Gather and translate business data requirements into governance solutions.

Continuous Improvement

• Identify and address data governance and quality gaps.
• Drive improvements in data management processes and controls.
• Support enterprise data transformation and modernization programmes.
• Contribute to improving overall data governance maturity.

Required Skills & Experience

Essential

• 6–10+ years of experience in Data Management, Data Governance, Data Quality, or Data Stewardship roles.
• Strong experience within the Insurance industry (Life, P&C, or Reinsurance).
• Knowledge of:
• Data Governance Frameworks
• Data Quality Management
• Master Data Management (MDM)
• Data Lineage & Metadata Management
• Working knowledge of:
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS)
• Azure Synapse Analytics
• Strong SQL and data validation skills.
• Experience with data profiling, cleansing, and reconciliation activities.

Insurance Domain Knowledge

• Policy Lifecycle Management
• Claims Processing
• Underwriting Workflows
• Insurance Reporting & Regulatory Requirements
• Core Insurance Data Entities:
• Policy
• Claims
• Customer
• Billing
• Finance

Preferred

• Experience with Collibra, Informatica, or Microsoft Purview.
• Azure certifications (Fundamentals or Data-related).
• Knowledge of data privacy and security frameworks.
• Experience supporting analytics and reporting teams.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent attention to detail.
• Strong stakeholder engagement and communication skills.
• Data ownership and governance mindset.
• Ability to drive standards, controls, and best practices across teams.

Success Measures

• Improved data quality, consistency, and reliability.
• Increased adoption of data governance practices.
• Reduction in data-related incidents and resolution times.
• High-quality data supporting business and regulatory reporting requirements.